Stavroula G. Mougiakakou

86 papers A* 5A 1B 3C 5Misc 1Journal 43Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
There are no Champions in Supervised Long-Term Time Series Forecasting.
Trans. Mach. Learn. Res.
Lorenzo Brigato, Rafael Morand, Knut J. Strømmen, Maria Panagiotou, Markus Schmidt, Stavroula G. Mougiakakou
2025 J jnl
Artificial intelligence in healthcare: applications, challenges, and future directions. A narrative review informed by international, multidisciplinary expertise.
Frontiers Digit. Health
Ata Mohajer-Bastami, Sarah Moin, Suhaib Ahmad, Ahmed R. Ahmed, Sjaak Pouwels, Shahab Hajibandeh, Wah Yang, Chetan Parmar, Mohammad Kermansaravi, Miriam Khalil, Ali Waleed Khalid, Ameer Khamise, David Laith Rawaf, Farzad Hosseini, Anurag Agarwal, Anil Lala, Shafi Ahmed, Bijendra Patel, Barbara Fyntanidou, Richard Egan, Stavroula G. Mougiakakou, Dominik Andreas Jakob, Vincent Ribordy, Wolf E. Hautz, Aristomenis K. Exadaktylos
2025 J jnl
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition.
CoRR
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou
2025 J jnl
Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation.
CoRR
Lubnaa Abdur Rahman, Ioannis Papathanail, Stavroula G. Mougiakakou
2025 A* conf
MMFood'25: 1st International Workshop on Multi-modal Food Computing.
ACM Multimedia
Lipika Dey, Marianna Obrist, Stavroula G. Mougiakakou
2025 J jnl
Personalised Insulin Adjustment with Reinforcement Learning: An In-Silico Validation for People with Diabetes on Intensive Insulin Treatment.
CoRR
Maria Panagiotou, Lorenzo Brigato, Vivien Streit, Amanda Hayoz, Stephan Proennecke, Stavros Athanasopoulos, Mikkel T. Olsen, Elizabeth J. den Brok, Cecilie H. Svensson, Konstantinos Makrilakis, Maria Xatzipsalti, Andriani Vazeou, Peter R. Mertens, Ulrik Pedersen-Bjergaard, Bastiaan E. de Galan, Stavroula G. Mougiakakou
2025 J jnl
Personalized Insulin Adjustment With Reinforcement Learning: An In-Silico Validation for People With Diabetes on Intensive Insulin Treatment.
IEEE Access
Maria Panagiotou, Lorenzo Brigato, Vivien Streit, Amanda Hayoz, Stephan Proennecke, Stavros Athanasopoulos, Mikkel T. Olsen, Elizabeth J. den Brok, Cecilie H. Svensson, Konstantinos Makrilakis, Maria Xatzipsalti, Andriani Vazeou, Peter R. Mertens, Ulrik Pedersen-Bjergaard, Bastiaan E. de Galan, Stavroula G. Mougiakakou
2025 J jnl
Position: There are no Champions in Long-Term Time Series Forecasting.
CoRR
Lorenzo Brigato, Rafael Morand, Knut J. Strømmen, Maria Panagiotou, Markus Schmidt, Stavroula G. Mougiakakou
2025 J jnl
The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes.
CoRR
Maria Panagiotou, Knut J. Strømmen, Lorenzo Brigato, Bastiaan E. de Galan, Stavroula G. Mougiakakou
2025 — conf
Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis.
DEMI@MICCAI
Ethan Dack, Lorenzo Brigato, Vasilis Dedousis, Janine Gote-Schniering, Cheryl Magnin, Hanno Hoppe, Aristomenis K. Exadaktylos, Manuela Funke-Chambour, Thomas Geiser, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou
2025 J jnl
Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis.
CoRR
Ethan Dack, Lorenzo Brigato, Vasilis Dedousis, Janine Gote-Schniering, Cheryl Magnin, Hanno Hoppe, Aristomenis K. Exadaktylos, Manuela Funke-Chambour, Thomas Geiser, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou
2024 A conf
A SAM Based Tool for Semi-Automatic Food Annotation.
ECAI
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou
2024 J jnl
A SAM based Tool for Semi-Automatic Food Annotation.
CoRR
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou
2024 — conf
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition.
ICPR (Workshops and Challenges, 4)
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou
2024 J jnl
Computer-Aided Diagnosis System for Lung Fibrosis: From the Effect of Radiomic Features and Multi-Layer-Perceptron Mixers to Pre-Clinical Evaluation.
IEEE Access
Matthias Fontanellaz, Andreas Christe, Stergios Christodoulidis, Ethan Dack, Justus Roos, D. Drakopoulos, D. Sieron, Alan Peters, Thomas Geiser, Manuela Funke-Chambour, J. Heverhagen, Hanno Hoppe, Aristomenis K. Exadaktylos, Lukas Ebner, Stavroula G. Mougiakakou
2024 J jnl
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets.
CoRR
Lorenzo Brigato, Stavroula G. Mougiakakou
2023 — conf
A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation.
MADiMa@MM
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou
2023 — conf
A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management.
CAIP (2)
Maria Panagiotou, Ioannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, Natalie S. Bez, Maria F. Vasiloglou, Thomai Stathopoulou, Bastiaan E. de Galan, Ulrik Pedersen-Bjergaard, Klazine van der Horst, Stavroula G. Mougiakakou
2023 — conf
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports.
ICCV (Workshops)
Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis K. Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou
2023 J jnl
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports.
CoRR
Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis K. Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou
2023 J jnl
Food Recognition and Nutritional Apps.
CoRR
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis, Stavroula G. Mougiakakou
2023 A* conf
MADiMa '23: 8th International Workshop on Multimedia Assisted Dietary Management.
ACM Multimedia
Stavroula G. Mougiakakou, Keiji Yanai, Dario Allegra
2023 — conf
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets.
ICCV (Workshops)
Lorenzo Brigato, Stavroula G. Mougiakakou
2023 J jnl
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets.
CoRR
Lorenzo Brigato, Stavroula G. Mougiakakou
2023 — ed.
Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, MADiMa 2023, Ottawa, ON, Canada, 29 October 2023
MADiMa@MM
Stavroula G. Mougiakakou, Keiji Yanai, Dario Allegra
2022 — conf
CEA++2022 Panel - Toward Building a Global Food Network.
CEA++@MM
Yoko Yamakata, Stavroula G. Mougiakakou, Ramesh C. Jain
2022 A* conf
MADiMa'22: 7th International Workshop on Multimedia Assisted Dietary Management.
ACM Multimedia
Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra
2022 — ed.
Proceedings of the 7th International Workshop on Multimedia Assisted Dietary Management, MADiMa 2022, Lisboa, Portugal, 10 October 2022
MADiMa
Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra
2021 J jnl
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients.
IEEE Trans. Multim.
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Stavroula G. Mougiakakou
2020 J jnl
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients.
CoRR
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Stavroula G. Mougiakakou
2020 — conf
Food Recognition in the Presence of Label Noise.
ICPR Workshops (5)
Ioannis Papathanail, Ya Lu, Arindam Ghosh, Stavroula G. Mougiakakou
2020 B conf
Partially Supervised Multi-Task Network for Single-View Dietary Assessment.
ICPR
Ya Lu, Thomai Stathopoulou, Stavroula G. Mougiakakou
2020 J jnl
Partially Supervised Multi-Task Network for Single-View Dietary Assessment.
CoRR
Ya Lu, Thomai Stathopoulou, Stavroula G. Mougiakakou
2020 J jnl
goFOODTM: An Artificial Intelligence System for Dietary Assessment.
Sensors
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Lillian F. Pinault, Colleen Kiley, Elias K. Spanakis, Stavroula G. Mougiakakou
2019 J jnl
A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning.
IEEE J. Biomed. Health Informatics
Qingnan Sun, Marko V. Jankovic, João Budzinski, Brett L. Moore, Peter Diem, Christoph Stettler, Stavroula G. Mougiakakou
2019 J jnl
A dual mode adaptive basal-bolus advisor based on reinforcement learning.
CoRR
Qingnan Sun, Marko V. Jankovic, João Budzinski, Brett L. Moore, Peter Diem, Christoph Stettler, Stavroula G. Mougiakakou
2019 — conf
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients.
EMBC
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Beat Blum, Thomas Walser, Vinzenz Meier, Zeno Stanga, Stavroula G. Mougiakakou
2019 J jnl
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients.
CoRR
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Beat Blum, Thomas Walser, Vinzenz Meier, Zeno Stanga, Stavroula G. Mougiakakou
2019 C conf
Image Registration of Satellite Imagery with Deep Convolutional Neural Networks.
IGARSS
Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula G. Mougiakakou, Nikos Paragios
2019 A* conf
MADiMA'19: 5th International Workshop on Multimedia Assisted Dietary Management.
ACM Multimedia
Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra
2019 — ed.
Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, MADiMa @ ACM Multimedia 2019, Nice, France, October 21-25, 2019
MADiMa @ ACM Multimedia
Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai
2019 — conf
Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy.
EMBC
Qingnan Sun, Marko V. Jankovic, Stavroula G. Mougiakakou
2019 — conf
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries.
MADiMa @ ACM Multimedia
Matthias Fontanellaz, Stergios Christodoulidis, Stavroula G. Mougiakakou
2019 J jnl
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries.
CoRR
Matthias Fontanellaz, Stergios Christodoulidis, Stavroula G. Mougiakakou
2019 J jnl
Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks.
IEEE J. Biomed. Health Informatics
Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Thomas Geiser, Andreas Christe, Stavroula G. Mougiakakou
2019 — conf
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets.
MICCAI (3)
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Marvin Lerousseau, Alexandre Carre, Guillaume Klausner, Roger Sun, Charlotte Robert, Stavroula G. Mougiakakou, Nikos Paragios, Eric Deutsch
2018 J jnl
A Multi-Task Learning Approach for Meal Assessment.
CoRR
Ya Lu, Dario Allegra, Marios Anthimopoulos, Filippo Stanco, Giovanni Maria Farinella, Stavroula G. Mougiakakou
2018 — conf
A multi-task learning approach for meal assessment.
MADiMa@IJCAI
Ya Lu, Dario Allegra, Marios Anthimopoulos, Filippo Stanco, Giovanni Maria Farinella, Stavroula G. Mougiakakou
2018 — conf
Linear and Deformable Image Registration with 3D Convolutional Neural Networks.
RAMBO+BIA+TIA@MICCAI
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
2018 J jnl
Linear and Deformable Image Registration with 3D Convolutional Neural Networks.
CoRR
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
2018 J jnl
Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network.
CoRR
Qingnan Sun, Marko V. Jankovic, Lia Bally, Stavroula G. Mougiakakou
2018 J jnl
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks.
CoRR
Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Thomas Geiser, Andreas Christe, Stavroula G. Mougiakakou
2017 — conf
A Multimedia Database for Automatic Meal Assessment Systems.
ICIAP Workshops
Dario Allegra, Marios Anthimopoulos, Joachim Dehais, Ya Lu, Filippo Stanco, Giovanni Maria Farinella, Stavroula G. Mougiakakou
2017 J jnl
Guest Editorial Nutrition Informatics: From Food Monitoring to Dietary Management.
IEEE J. Biomed. Health Informatics
Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Edward Sazonov
2017 J jnl
Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis.
IEEE J. Biomed. Health Informatics
Stergios Christodoulidis, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou
2017 B conf
Prognosis of Abdominal Aortic Aneurysms: A Machine Learning-Enabled Approach Merging Clinical, Morphometric, Biomechanical and Texture Information.
CBMS
Fernando García-García, Eleni Metaxa, Stergios Christodoulidis, Marios Anthimopoulos, Nikolaos Kontopodis, Martina Correa-Londono, Thomas R. Wyss, Yannis Papaharilaou, Christos V. Ioannou, Hendrik von Tengg-Kobligk, Stavroula G. Mougiakakou
2017 J jnl
Two-View 3D Reconstruction for Food Volume Estimation.
IEEE Trans. Multim.
Joachim Dehais, Marios Anthimopoulos, Sergey Shevchik, Stavroula G. Mougiakakou
2017 J jnl
Two-view 3D Reconstruction for Food Volume Estimation.
CoRR
Joachim Dehais, Marios Anthimopoulos, Sergey Shevchik, Stavroula G. Mougiakakou
2016 — conf
Food Image Segmentation for Dietary Assessment.
MADiMa @ ACM Multimedia
Joachim Dehais, Marios Anthimopoulos, Stavroula G. Mougiakakou
2016 — conf
GoCARB: A Smartphone Application for Automatic Assessment of Carbohydrate Intake.
MADiMa @ ACM Multimedia
Joachim Dehais, Marios Anthimopoulos, Stavroula G. Mougiakakou
2016 J jnl
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network.
IEEE Trans. Medical Imaging
Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou
2016 J jnl
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis.
CoRR
Stergios Christodoulidis, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou
2016 A* conf
Overview of the ACM MultiMedia 2016 International Workshop on Multimedia Assisted Dietary Management.
ACM Multimedia
Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai
2016 — conf
Performance Evaluation Methods of Computer Vision Systems for Meal Assessment.
MADiMa @ ACM Multimedia
Marios Anthimopoulos, Joachim Dehais, Stavroula G. Mougiakakou
2016 — ed.
Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management, MADiMa @ ACM Multimedia 2016, Amsterdam, The Netherlands, October 16, 2016
MADiMa @ ACM Multimedia
Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai
2015 — conf
Dish Detection and Segmentation for Dietary Assessment on Smartphones.
ICIAP Workshops
Joachim Dehais, Marios Anthimopoulos, Stavroula G. Mougiakakou
2015 — conf
Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks.
ICIAP Workshops
Stergios Christodoulidis, Marios Anthimopoulos, Stavroula G. Mougiakakou
2014 J jnl
A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features Model.
IEEE J. Biomed. Health Informatics
Marios Anthimopoulos, Lauro Gianola, Luca Scarnato, Peter Diem, Stavroula G. Mougiakakou
2014 — conf
Classification of interstitial lung disease patterns using local DCT features and random forest.
EMBC
Marios Anthimopoulos, Stergios Christodoulidis, Andreas Christe, Stavroula G. Mougiakakou
2014 — conf
Multi-model data fusion to improve an early warning system for hypo-/hyperglycemic events.
EMBC
Ransford Henry Botwey, Elena Daskalaki, Peter Diem, Stavroula G. Mougiakakou
2013 J jnl
An Actor-Critic based controller for glucose regulation in type 1 diabetes.
Comput. Methods Programs Biomed.
Elena Daskalaki, Peter Diem, Stavroula G. Mougiakakou
2013 C conf
Food volume computation for self dietary assessment applications.
BIBE
Joachim Dehais, Sergey Shevchik, Peter Diem, Stavroula G. Mougiakakou
2013 — conf
Personalized tuning of a reinforcement learning control algorithm for glucose regulation.
EMBC
Elena Daskalaki, Peter Diem, Stavroula G. Mougiakakou
2013 C conf
Segmentation and recognition of multi-food meal images for carbohydrate counting.
BIBE
Marios Anthimopoulos, Joachim Dehais, Peter Diem, Stavroula G. Mougiakakou
2013 C conf
Short-term vs. long-term analysis of diabetes data: Application of machine learning and data mining techniques.
BIBE
Eleni I. Georga, Vasilios C. Protopappas, Stavroula G. Mougiakakou, Dimitrios I. Fotiadis
2011 J jnl
An Insulin Infusion Advisory System Based on Autotuning Nonlinear Model-Predictive Control.
IEEE Trans. Biomed. Eng.
Konstantia Zarkogianni, Andriani Vazeou, Stavroula G. Mougiakakou, Aikaterini Prountzou, Konstantina S. Nikita
2010 J jnl
A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context.
BMC Bioinform.
Ioannis K. Valavanis, Stavroula G. Mougiakakou, Keith A. Grimaldi, Konstantina S. Nikita
2010 J jnl
Mobile phone technologies and advanced data analysis towards the enhancement of diabetes self-management.
Int. J. Electron. Heal.
Ioannis N. Kouris, Stavroula G. Mougiakakou, Luca Scarnato, Dimitra Iliopoulou, Peter Diem, Andriani Vazeou, Dimitris Koutsouris
2010 J jnl
SMARTDIAB: a communication and information technology approach for the intelligent monitoring, management and follow-up of type 1 diabetes patients.
IEEE Trans. Inf. Technol. Biomed.
Stavroula G. Mougiakakou, Christos S. Bartsocas, Evangelos Bozas, Nikos Chaniotakis, Dimitra Iliopoulou, Ioannis N. Kouris, Sotiris Pavlopoulos, Aikaterini Prountzou, Marios Skevofilakas, Alexandre Tsoukalis, Kostas Varotsis, Andriani Vazeou, Konstantia Zarkogianni, Konstantina S. Nikita
2009 J jnl
DIAGNOSIS: A Telematics-Enabled System for Medical Image Archiving, Management, and Diagnosis Assistance.
IEEE Trans. Instrum. Meas.
Stavroula G. Mougiakakou, Ioannis K. Valavanis, Nicolaos A. Mouravliansky, Konstantina S. Nikita, Alexandra Nikita
2008 C conf
Gene - nutrition interactions in the onset of obesity as Cardiovascular Disease risk factor based on a computational intelligence method.
BIBE
Ioannis K. Valavanis, Stavroula G. Mougiakakou, Stathis Marinos, George Karkalis, Keith A. Grimaldi, Rosalynn Gill, Konstantina S. Nikita
2007 J jnl
Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers.
Artif. Intell. Medicine
Stavroula G. Mougiakakou, Ioannis K. Valavanis, Alexandra Nikita, Konstantina S. Nikita
2006 Misc conf
Computer Aided Diagnosis of CT Focal Liver Lesions based on Texture Features, Feature Selection and Ensembles of Classifiers.
AIAI
Stavroula G. Mougiakakou, Ioannis K. Valavanis, Alexandra Nikita, Konstantina S. Nikita
2006 — conf
Neural Network based Glucose - Insulin Metabolism Models for Children with Type 1 Diabetes.
EMBC
Stavroula G. Mougiakakou, Aikaterini Prountzou, Dimitra Iliopoulou, Konstantina S. Nikita, Andriani Vazeou, Christos S. Bartsocas
2004 B conf
Computer aided diagnosis of CT focal liver lesions by an ensemble of neural network and statistical classifiers.
IJCNN
Ioannis K. Valavanis, Stavroula G. Mougiakakou, Konstantina S. Nikita, Alexandra Nikita
2003 J jnl
A computer-aided diagnostic system to characterize CT focal liver lesions: Design and optimization of a neural network classifier.
IEEE Trans. Inf. Technol. Biomed.
Miltos Gletsos, Stavroula G. Mougiakakou, George K. Matsopoulos, Konstantina S. Nikita, Alexandra Nikita, Dimitrios Kelekis